Triple
T37938192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinky and the Brain |
E946406
|
entity |
| Predicate | voiceActorOfTheBrain |
P161313
|
FINISHED |
| Object | Maurice LaMarche |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maurice LaMarche | Statement: [Pinky and the Brain, voiceActorOfTheBrain, Maurice LaMarche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActorOfTheBrain Context triple: [Pinky and the Brain, voiceActorOfTheBrain, Maurice LaMarche]
-
A.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
B.
voiceActorCharacter
Indicates that a person serving as a voice actor provides the voice for a particular character.
-
C.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
D.
voicedByAlsoKnownFor
Indicates that the person who voices a character is also notably recognized for another specific role or work.
-
E.
voiceCharacter
chosen
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:20 p.m.